Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	7535
Missing cells	24808
Missing cells (%)	12.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.6 MiB
Average record size in memory	216.0 B

Variable types

Categorical	11
Numeric	16

Warnings

`INSTNM` has a high cardinality: 7535 distinct values	High cardinality
`CITY` has a high cardinality: 2514 distinct values	High cardinality
`STABBR` has a high cardinality: 59 distinct values	High cardinality
`MD_EARN_WNE_P10` has a high cardinality: 598 distinct values	High cardinality
`GRAD_DEBT_MDN_SUPP` has a high cardinality: 2038 distinct values	High cardinality
`SATVRMID` is highly correlated with `SATMTMID`	High correlation
`SATMTMID` is highly correlated with `SATVRMID`	High correlation
`HBCU` has 371 (4.9%) missing values	Missing
`MENONLY` has 371 (4.9%) missing values	Missing
`WOMENONLY` has 371 (4.9%) missing values	Missing
`SATVRMID` has 6350 (84.3%) missing values	Missing
`SATMTMID` has 6339 (84.1%) missing values	Missing
`DISTANCEONLY` has 371 (4.9%) missing values	Missing
`UGDS` has 661 (8.8%) missing values	Missing
`UGDS_WHITE` has 661 (8.8%) missing values	Missing
`UGDS_BLACK` has 661 (8.8%) missing values	Missing
`UGDS_HISP` has 661 (8.8%) missing values	Missing
`UGDS_ASIAN` has 661 (8.8%) missing values	Missing
`UGDS_AIAN` has 661 (8.8%) missing values	Missing
`UGDS_NHPI` has 661 (8.8%) missing values	Missing
`UGDS_2MOR` has 661 (8.8%) missing values	Missing
`UGDS_NRA` has 661 (8.8%) missing values	Missing
`UGDS_UNKN` has 661 (8.8%) missing values	Missing
`PPTUG_EF` has 682 (9.1%) missing values	Missing
`PCTPELL` has 686 (9.1%) missing values	Missing
`PCTFLOAN` has 686 (9.1%) missing values	Missing
`UG25ABV` has 817 (10.8%) missing values	Missing
`MD_EARN_WNE_P10` has 1122 (14.9%) missing values	Missing
`UGDS_NHPI` is highly skewed (γ1 = 22.78419429)	Skewed
`INSTNM` is uniformly distributed	Uniform
`INSTNM` has unique values	Unique
`UGDS_WHITE` has 242 (3.2%) zeros	Zeros
`UGDS_BLACK` has 562 (7.5%) zeros	Zeros
`UGDS_HISP` has 588 (7.8%) zeros	Zeros
`UGDS_ASIAN` has 1561 (20.7%) zeros	Zeros
`UGDS_AIAN` has 2442 (32.4%) zeros	Zeros
`UGDS_NHPI` has 3520 (46.7%) zeros	Zeros
`UGDS_2MOR` has 2036 (27.0%) zeros	Zeros
`UGDS_NRA` has 3906 (51.8%) zeros	Zeros
`UGDS_UNKN` has 2067 (27.4%) zeros	Zeros
`PPTUG_EF` has 1903 (25.3%) zeros	Zeros
`PCTFLOAN` has 687 (9.1%) zeros	Zeros

Reproduction

Analysis started	2021-04-20 19:39:12.550607
Analysis finished	2021-04-20 19:39:46.171164
Duration	33.62 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

INSTNM
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	7535
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	59.0 KiB

Gemini School of Visual Arts & Communication	1
Hebrew Union College-Jewish Institute of Religion	1
Harrison College-Morrisville	1
Hypnosis Motivation Institute	1
Rasmussen College–Romeoville/Joliet	1
Other values (7530)	7530

Length

Max length	93
Median length	30
Mean length	30.53497014
Min length	3

Characters and Unicode

Total characters	230081
Distinct characters	74
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7535 ?
Unique (%)	100.0%

Sample

1st row	Alabama A & M University
2nd row	University of Alabama at Birmingham
3rd row	Amridge University
4th row	University of Alabama in Huntsville
5th row	Alabama State University

Value	Count	Frequency (%)
Gemini School of Visual Arts & Communication	1	< 0.1%
Hebrew Union College-Jewish Institute of Religion	1	< 0.1%
Harrison College-Morrisville	1	< 0.1%
Hypnosis Motivation Institute	1	< 0.1%
Rasmussen College–Romeoville/Joliet	1	< 0.1%
Columbia College-Hollywood	1	< 0.1%
H Councill Trenholm State Community College	1	< 0.1%
Pivot Point Academy-Evanston	1	< 0.1%
Pellissippi State Community College	1	< 0.1%
Summit College	1	< 0.1%
Other values (7525)	7525	99.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
college	2267	8.0%
of	1919	6.8%
university	1195	4.2%
school	673	2.4%
beauty	572	2.0%
institute	553	2.0%
community	546	1.9%
technical	522	1.8%
state	381	1.3%
academy	320	1.1%
Other values (5774)	19340	68.4%

Most occurring characters

Value	Count	Frequency (%)
e	23636	10.3%
	20766	9.0%
o	16426	7.1%
i	14711	6.4%
t	14416	6.3%
l	14342	6.2%
a	14049	6.1%
n	14009	6.1%
r	10761	4.7%
s	9419	4.1%
Other values (64)	77546	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	176246	76.6%
Uppercase Letter	29630	12.9%
Space Separator	20767	9.0%
Dash Punctuation	3039	1.3%
Other Punctuation	365	0.2%
Decimal Number	31	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%
Final Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	23636	13.4%
o	16426	9.3%
i	14711	8.3%
t	14416	8.2%
l	14342	8.1%
a	14049	8.0%
n	14009	7.9%
r	10761	6.1%
s	9419	5.3%
c	5917	3.4%
Other values (17)	38560	21.9%

Value	Count	Frequency (%)
C	6489	21.9%
S	3138	10.6%
T	2132	7.2%
U	1894	6.4%
A	1814	6.1%
B	1773	6.0%
I	1733	5.8%
M	1678	5.7%
P	1135	3.8%
H	944	3.2%
Other values (16)	6900	23.3%

Value	Count	Frequency (%)
1	9	29.0%
2	9	29.0%
4	3	9.7%
3	2	6.5%
0	2	6.5%
9	2	6.5%
6	2	6.5%
5	1	3.2%
7	1	3.2%

Value	Count	Frequency (%)
'	171	46.8%
&	156	42.7%
.	20	5.5%
/	13	3.6%
#	5	1.4%

Value	Count	Frequency (%)
	20766	> 99.9%
	1	< 0.1%

Value	Count	Frequency (%)
-	3029	99.7%
–	10	0.3%

Value	Count	Frequency (%)
(	1	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Value	Count	Frequency (%)
’	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	205876	89.5%
Common	24205	10.5%

Most frequent character per script

Value	Count	Frequency (%)
e	23636	11.5%
o	16426	8.0%
i	14711	7.1%
t	14416	7.0%
l	14342	7.0%
a	14049	6.8%
n	14009	6.8%
r	10761	5.2%
s	9419	4.6%
C	6489	3.2%
Other values (43)	67618	32.8%

Value	Count	Frequency (%)
	20766	85.8%
-	3029	12.5%
'	171	0.7%
&	156	0.6%
.	20	0.1%
/	13	0.1%
–	10	< 0.1%
1	9	< 0.1%
2	9	< 0.1%
#	5	< 0.1%
Other values (11)	17	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	230067	> 99.9%
Punctuation	11	< 0.1%
None	3	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
e	23636	10.3%
	20766	9.0%
o	16426	7.1%
i	14711	6.4%
t	14416	6.3%
l	14342	6.2%
a	14049	6.1%
n	14009	6.1%
r	10761	4.7%
s	9419	4.1%
Other values (60)	77532	33.7%

Value	Count	Frequency (%)
–	10	90.9%
’	1	9.1%

Value	Count	Frequency (%)
í	2	66.7%
	1	33.3%

CITY
Categorical

HIGH CARDINALITY

Distinct	2514
Distinct (%)	33.4%
Missing	0
Missing (%)	0.0%
Memory size	59.0 KiB

New York	87
Chicago	78
Houston	72
Los Angeles	56
Miami	51
Other values (2509)	7191

Length

Max length	24
Median length	9
Mean length	8.819110816
Min length	3

Characters and Unicode

Total characters	66452
Distinct characters	58
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1418 ?
Unique (%)	18.8%

Sample

1st row	Normal
2nd row	Birmingham
3rd row	Montgomery
4th row	Huntsville
5th row	Montgomery

Value	Count	Frequency (%)
New York	87	1.2%
Chicago	78	1.0%
Houston	72	1.0%
Los Angeles	56	0.7%
Miami	51	0.7%
San Antonio	49	0.7%
Dallas	48	0.6%
Philadelphia	46	0.6%
Brooklyn	46	0.6%
Jacksonville	41	0.5%
Other values (2504)	6961	92.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
city	190	2.0%
san	177	1.8%
new	151	1.6%
york	101	1.1%
chicago	80	0.8%
park	79	0.8%
fort	77	0.8%
saint	76	0.8%
houston	73	0.8%
beach	71	0.7%
Other values (2332)	8497	88.8%

Most occurring characters

Value	Count	Frequency (%)
a	6126	9.2%
e	5810	8.7%
o	5146	7.7%
n	5037	7.6%
l	4318	6.5%
i	4218	6.3%
r	4000	6.0%
t	3494	5.3%
s	2951	4.4%
	2045	3.1%
Other values (48)	23307	35.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54711	82.3%
Uppercase Letter	9657	14.5%
Space Separator	2045	3.1%
Other Punctuation	25	< 0.1%
Dash Punctuation	14	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	6126	11.2%
e	5810	10.6%
o	5146	9.4%
n	5037	9.2%
l	4318	7.9%
i	4218	7.7%
r	4000	7.3%
t	3494	6.4%
s	2951	5.4%
u	1625	3.0%
Other values (18)	11986	21.9%

Value	Count	Frequency (%)
C	1011	10.5%
S	976	10.1%
B	732	7.6%
M	721	7.5%
P	673	7.0%
L	620	6.4%
A	589	6.1%
H	494	5.1%
W	446	4.6%
R	406	4.2%
Other values (16)	2989	31.0%

Value	Count	Frequency (%)
.	20	80.0%
'	5	20.0%

Value	Count	Frequency (%)
	2045	100.0%

Value	Count	Frequency (%)
-	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64368	96.9%
Common	2084	3.1%

Most frequent character per script

Value	Count	Frequency (%)
a	6126	9.5%
e	5810	9.0%
o	5146	8.0%
n	5037	7.8%
l	4318	6.7%
i	4218	6.6%
r	4000	6.2%
t	3494	5.4%
s	2951	4.6%
u	1625	2.5%
Other values (44)	21643	33.6%

Value	Count	Frequency (%)
	2045	98.1%
.	20	1.0%
-	14	0.7%
'	5	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66449	> 99.9%
None	3	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
a	6126	9.2%
e	5810	8.7%
o	5146	7.7%
n	5037	7.6%
l	4318	6.5%
i	4218	6.3%
r	4000	6.0%
t	3494	5.3%
s	2951	4.4%
	2045	3.1%
Other values (46)	23304	35.1%

Value	Count	Frequency (%)
ó	2	66.7%
í	1	33.3%

STABBR
Categorical

HIGH CARDINALITY

Distinct	59
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	59.0 KiB

CA	773
TX	472
NY	459
FL	436
PA	394
Other values (54)	5001

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	15070
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	AL
2nd row	AL
3rd row	AL
4th row	AL
5th row	AL

Value	Count	Frequency (%)
CA	773	10.3%
TX	472	6.3%
NY	459	6.1%
FL	436	5.8%
PA	394	5.2%
OH	352	4.7%
IL	300	4.0%
MI	207	2.7%
NC	204	2.7%
MA	194	2.6%
Other values (49)	3744	49.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
ca	773	10.3%
tx	472	6.3%
ny	459	6.1%
fl	436	5.8%
pa	394	5.2%
oh	352	4.7%
il	300	4.0%
mi	207	2.7%
nc	204	2.7%
ma	194	2.6%
Other values (49)	3744	49.7%

Most occurring characters

Value	Count	Frequency (%)
A	2392	15.9%
N	1541	10.2%
C	1341	8.9%
M	1039	6.9%
I	964	6.4%
L	953	6.3%
O	909	6.0%
T	892	5.9%
Y	576	3.8%
P	544	3.6%
Other values (14)	3919	26.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	15070	100.0%

Most frequent character per category

Value	Count	Frequency (%)
A	2392	15.9%
N	1541	10.2%
C	1341	8.9%
M	1039	6.9%
I	964	6.4%
L	953	6.3%
O	909	6.0%
T	892	5.9%
Y	576	3.8%
P	544	3.6%
Other values (14)	3919	26.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15070	100.0%

Most frequent character per script

Value	Count	Frequency (%)
A	2392	15.9%
N	1541	10.2%
C	1341	8.9%
M	1039	6.9%
I	964	6.4%
L	953	6.3%
O	909	6.0%
T	892	5.9%
Y	576	3.8%
P	544	3.6%
Other values (14)	3919	26.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15070	100.0%

Most frequent character per block

Value	Count	Frequency (%)
A	2392	15.9%
N	1541	10.2%
C	1341	8.9%
M	1039	6.9%
I	964	6.4%
L	953	6.3%
O	909	6.0%
T	892	5.9%
Y	576	3.8%
P	544	3.6%
Other values (14)	3919	26.0%

HBCU
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	371
Missing (%)	4.9%
Memory size	59.0 KiB

0.0	7062
1.0	102

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21492
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Value	Count	Frequency (%)
0.0	7062	93.7%
1.0	102	1.4%
(Missing)	371	4.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	7062	98.6%
1.0	102	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	14226	66.2%
.	7164	33.3%
1	102	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14328	66.7%
Other Punctuation	7164	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	14226	99.3%
1	102	0.7%

Value	Count	Frequency (%)
.	7164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21492	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	14226	66.2%
.	7164	33.3%
1	102	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21492	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	14226	66.2%
.	7164	33.3%
1	102	0.5%

MENONLY
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	371
Missing (%)	4.9%
Memory size	59.0 KiB

0.0	7098
1.0	66

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21492
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	7098	94.2%
1.0	66	0.9%
(Missing)	371	4.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	7098	99.1%
1.0	66	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	14262	66.4%
.	7164	33.3%
1	66	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14328	66.7%
Other Punctuation	7164	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	14262	99.5%
1	66	0.5%

Value	Count	Frequency (%)
.	7164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21492	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	14262	66.4%
.	7164	33.3%
1	66	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21492	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	14262	66.4%
.	7164	33.3%
1	66	0.3%

WOMENONLY
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	371
Missing (%)	4.9%
Memory size	59.0 KiB

0.0	7126
1.0	38

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21492
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	7126	94.6%
1.0	38	0.5%
(Missing)	371	4.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	7126	99.5%
1.0	38	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	14290	66.5%
.	7164	33.3%
1	38	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14328	66.7%
Other Punctuation	7164	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	14290	99.7%
1	38	0.3%

Value	Count	Frequency (%)
.	7164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21492	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	14290	66.5%
.	7164	33.3%
1	38	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21492	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	14290	66.5%
.	7164	33.3%
1	38	0.2%

RELAFFIL
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.0 KiB

0	6096
1	1439

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7535
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Value	Count	Frequency (%)
0	6096	80.9%
1	1439	19.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	6096	80.9%
1	1439	19.1%

Most occurring characters

Value	Count	Frequency (%)
0	6096	80.9%
1	1439	19.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7535	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	6096	80.9%
1	1439	19.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	7535	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	6096	80.9%
1	1439	19.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7535	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	6096	80.9%
1	1439	19.1%

SATVRMID
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	163
Distinct (%)	13.8%
Missing	6350
Missing (%)	84.3%
Infinite	0
Infinite (%)	0.0%

Mean	522.8194093
Minimum	290
Maximum	765
Zeros	0
Zeros (%)	0.0%
Memory size	59.0 KiB

Quantile statistics

Minimum	290
5-th percentile	430
Q1	475
median	510
Q3	555
95-th percentile	665
Maximum	765
Range	475
Interquartile range (IQR)	80

Descriptive statistics

Standard deviation	68.57886165
Coefficient of variation (CV)	0.1311712236
Kurtosis	1.074681792
Mean	522.8194093
Median Absolute Deviation (MAD)	40
Skewness	0.8192137191
Sum	619541
Variance	4703.060265
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
495	52	0.7%
475	43	0.6%
500	39	0.5%
470	37	0.5%
490	36	0.5%
520	34	0.5%
530	34	0.5%
505	34	0.5%
510	32	0.4%
480	31	0.4%
Other values (153)	813	10.8%
(Missing)	6350	84.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
290	1	< 0.1%
360	2	< 0.1%
363	1	< 0.1%
365	1	< 0.1%
380	2	< 0.1%

Value	Count	Frequency (%)
765	1	< 0.1%
760	1	< 0.1%
755	1	< 0.1%
750	1	< 0.1%
745	2	< 0.1%

SATMTMID
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	167
Distinct (%)	14.0%
Missing	6339
Missing (%)	84.1%
Infinite	0
Infinite (%)	0.0%

Mean	530.7650502
Minimum	310
Maximum	785
Zeros	0
Zeros (%)	0.0%
Memory size	59.0 KiB

Quantile statistics

Minimum	310
5-th percentile	430
Q1	482
median	520
Q3	565
95-th percentile	685
Maximum	785
Range	475
Interquartile range (IQR)	83

Descriptive statistics

Standard deviation	73.4697671
Coefficient of variation (CV)	0.1384223906
Kurtosis	0.8642076997
Mean	530.7650502
Median Absolute Deviation (MAD)	40
Skewness	0.8598872434
Sum	634795
Variance	5397.806677
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
490	47	0.6%
520	43	0.6%
500	42	0.6%
480	38	0.5%
485	36	0.5%
510	35	0.5%
505	35	0.5%
525	34	0.5%
495	33	0.4%
515	33	0.4%
Other values (157)	820	10.9%
(Missing)	6339	84.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
310	1	< 0.1%
360	1	< 0.1%
365	1	< 0.1%
368	1	< 0.1%
375	2	< 0.1%

Value	Count	Frequency (%)
785	1	< 0.1%
770	2	< 0.1%
760	2	< 0.1%
758	1	< 0.1%
755	3	< 0.1%

DISTANCEONLY
Categorical

MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	371
Missing (%)	4.9%
Memory size	59.0 KiB

0.0	7124
1.0	40

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	21492
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	7124	94.5%
1.0	40	0.5%
(Missing)	371	4.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	7124	99.4%
1.0	40	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	14288	66.5%
.	7164	33.3%
1	40	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	14328	66.7%
Other Punctuation	7164	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	14288	99.7%
1	40	0.3%

Value	Count	Frequency (%)
.	7164	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	21492	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	14288	66.5%
.	7164	33.3%
1	40	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	21492	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	14288	66.5%
.	7164	33.3%
1	40	0.2%

UGDS
Real number (ℝ_≥0)

MISSING

Distinct	2932
Distinct (%)	42.7%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	2356.83794
Minimum	0
Maximum	151558
Zeros	7
Zeros (%)	0.1%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	31.65
Q1	117
median	412.5
Q3	1929.5
95-th percentile	11858.05
Maximum	151558
Range	151558
Interquartile range (IQR)	1812.5

Descriptive statistics

Standard deviation	5474.275871
Coefficient of variation (CV)	2.322720531
Kurtosis	103.7582136
Mean	2356.83794
Median Absolute Deviation (MAD)	361.5
Skewness	6.806530158
Sum	16200904
Variance	29967696.31
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	29	0.4%
61	26	0.3%
46	26	0.3%
58	26	0.3%
38	25	0.3%
60	25	0.3%
47	25	0.3%
95	24	0.3%
43	24	0.3%
63	24	0.3%
Other values (2922)	6620	87.9%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7	0.1%
1	3	< 0.1%
2	3	< 0.1%
3	3	< 0.1%
4	4	0.1%

Value	Count	Frequency (%)
151558	1	< 0.1%
77657	1	< 0.1%
61470	1	< 0.1%
59920	1	< 0.1%
58084	1	< 0.1%

UGDS_WHITE
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	4397
Distinct (%)	64.0%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.510207201
Minimum	0
Maximum	1
Zeros	242
Zeros (%)	3.2%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.013265
Q1	0.2675
median	0.5557
Q3	0.747875
95-th percentile	0.927315
Maximum	1
Range	1
Interquartile range (IQR)	0.480375

Descriptive statistics

Standard deviation	0.286958349
Coefficient of variation (CV)	0.5624349254
Kurtosis	-1.079241841
Mean	0.510207201
Median Absolute Deviation (MAD)	0.227
Skewness	-0.2560443813
Sum	3507.1643
Variance	0.08234509408
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	242	3.2%
1	109	1.4%
0.6667	22	0.3%
0.5	18	0.2%
0.8	15	0.2%
0.6	13	0.2%
0.8333	13	0.2%
0.3333	13	0.2%
0.5714	12	0.2%
0.8571	11	0.1%
Other values (4387)	6406	85.0%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	242	3.2%
0.0004	2	< 0.1%
0.0005	2	< 0.1%
0.0007	1	< 0.1%
0.001	1	< 0.1%

Value	Count	Frequency (%)
1	109	1.4%
0.9968	1	< 0.1%
0.9964	1	< 0.1%
0.995	1	< 0.1%
0.9948	1	< 0.1%

UGDS_BLACK
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	3242
Distinct (%)	47.2%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.1899966395
Minimum	0
Maximum	1
Zeros	562
Zeros (%)	7.5%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.036125
median	0.10005
Q3	0.2577
95-th percentile	0.726715
Maximum	1
Range	1
Interquartile range (IQR)	0.221575

Descriptive statistics

Standard deviation	0.224586518
Coefficient of variation (CV)	1.182055212
Kurtosis	2.485739193
Mean	0.1899966395
Median Absolute Deviation (MAD)	0.08145
Skewness	1.733201177
Sum	1306.0369
Variance	0.05043910407
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	562	7.5%
1	28	0.4%
0.0476	16	0.2%
0.1429	15	0.2%
0.0345	14	0.2%
0.1111	14	0.2%
0.1875	13	0.2%
0.1667	13	0.2%
0.2	13	0.2%
0.0588	13	0.2%
Other values (3232)	6173	81.9%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	562	7.5%
0.0002	1	< 0.1%
0.0003	1	< 0.1%
0.0005	1	< 0.1%
0.0006	1	< 0.1%

Value	Count	Frequency (%)
1	28	0.4%
0.994	1	< 0.1%
0.9911	1	< 0.1%
0.9908	1	< 0.1%
0.9899	1	< 0.1%

UGDS_HISP
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	2809
Distinct (%)	40.9%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.1616348851
Minimum	0
Maximum	1
Zeros	588
Zeros (%)	7.8%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.0276
median	0.0714
Q3	0.198875
95-th percentile	0.6667
Maximum	1
Range	1
Interquartile range (IQR)	0.171275

Descriptive statistics

Standard deviation	0.2218537907
Coefficient of variation (CV)	1.372561317
Kurtosis	4.88840692
Mean	0.1616348851
Median Absolute Deviation (MAD)	0.056
Skewness	2.251145805
Sum	1111.0782
Variance	0.04921910443
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	588	7.8%
1	136	1.8%
0.0435	16	0.2%
0.1111	16	0.2%
0.0556	16	0.2%
0.1	15	0.2%
0.2	15	0.2%
0.0359	15	0.2%
0.0417	15	0.2%
0.0952	15	0.2%
Other values (2799)	6027	80.0%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	588	7.8%
0.0007	3	< 0.1%
0.001	1	< 0.1%
0.0012	2	< 0.1%
0.0014	2	< 0.1%

Value	Count	Frequency (%)
1	136	1.8%
0.9991	1	< 0.1%
0.9981	1	< 0.1%
0.9978	1	< 0.1%
0.9974	3	< 0.1%

UGDS_ASIAN
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	1254
Distinct (%)	18.2%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.03354423916
Minimum	0
Maximum	0.9727
Zeros	1561
Zeros (%)	20.7%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.0025
median	0.0129
Q3	0.0327
95-th percentile	0.131775
Maximum	0.9727
Range	0.9727
Interquartile range (IQR)	0.0302

Descriptive statistics

Standard deviation	0.07377719782
Coefficient of variation (CV)	2.199399947
Kurtosis	58.81975651
Mean	0.03354423916
Median Absolute Deviation (MAD)	0.0129
Skewness	6.489844249
Sum	230.5831
Variance	0.005443074919
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1561	20.7%
0.0074	30	0.4%
0.0086	27	0.4%
0.0112	26	0.3%
0.007	25	0.3%
0.009	25	0.3%
0.0064	24	0.3%
0.0154	24	0.3%
0.0054	24	0.3%
0.0095	24	0.3%
Other values (1244)	5084	67.5%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1561	20.7%
0.0002	3	< 0.1%
0.0003	1	< 0.1%
0.0004	2	< 0.1%
0.0005	2	< 0.1%

Value	Count	Frequency (%)
0.9727	1	< 0.1%
0.967	1	< 0.1%
0.9658	1	< 0.1%
0.9595	1	< 0.1%
0.9524	1	< 0.1%

UGDS_AIAN
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	601
Distinct (%)	8.7%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.0138125691
Minimum	0
Maximum	1
Zeros	2442
Zeros (%)	32.4%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.0026
Q3	0.0073
95-th percentile	0.03641
Maximum	1
Range	1
Interquartile range (IQR)	0.0073

Descriptive statistics

Standard deviation	0.07019573509
Coefficient of variation (CV)	5.082018745
Kurtosis	134.7402217
Mean	0.0138125691
Median Absolute Deviation (MAD)	0.0026
Skewness	11.08329272
Sum	94.9476
Variance	0.004927441224
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2442	32.4%
0.002	68	0.9%
0.0022	64	0.8%
0.0024	63	0.8%
0.0015	60	0.8%
0.0023	58	0.8%
0.0036	58	0.8%
0.0018	57	0.8%
0.0043	55	0.7%
0.0025	54	0.7%
Other values (591)	3895	51.7%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2442	32.4%
0.0003	5	0.1%
0.0004	21	0.3%
0.0005	22	0.3%
0.0006	20	0.3%

Value	Count	Frequency (%)
1	2	< 0.1%
0.9944	1	< 0.1%
0.9894	1	< 0.1%
0.9887	1	< 0.1%
0.9821	1	< 0.1%

UGDS_NHPI
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	363
Distinct (%)	5.3%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.004568897294
Minimum	0
Maximum	0.9983
Zeros	3520
Zeros (%)	46.7%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.0025
95-th percentile	0.0152
Maximum	0.9983
Range	0.9983
Interquartile range (IQR)	0.0025

Descriptive statistics

Standard deviation	0.0331250764
Coefficient of variation (CV)	7.25012498
Kurtosis	600.1361399
Mean	0.004568897294
Median Absolute Deviation (MAD)	0
Skewness	22.78419429
Sum	31.4066
Variance	0.001097270687
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3520	46.7%
0.0007	105	1.4%
0.0009	98	1.3%
0.0011	95	1.3%
0.0008	93	1.2%
0.001	93	1.2%
0.0006	92	1.2%
0.0014	85	1.1%
0.0018	83	1.1%
0.0004	78	1.0%
Other values (353)	2532	33.6%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3520	46.7%
0.0001	9	0.1%
0.0002	31	0.4%
0.0003	37	0.5%
0.0004	78	1.0%

Value	Count	Frequency (%)
0.9983	1	< 0.1%
0.9917	1	< 0.1%
0.9881	1	< 0.1%
0.9538	1	< 0.1%
0.9193	1	< 0.1%

UGDS_2MOR
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	957
Distinct (%)	13.9%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.0239503055
Minimum	0
Maximum	0.5333
Zeros	2036
Zeros (%)	27.0%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.0175
Q3	0.0339
95-th percentile	0.0769
Maximum	0.5333
Range	0.5333
Interquartile range (IQR)	0.0339

Descriptive statistics

Standard deviation	0.03128804781
Coefficient of variation (CV)	1.306373641
Kurtosis	36.19576555
Mean	0.0239503055
Median Absolute Deviation (MAD)	0.0175
Skewness	4.127378462
Sum	164.6344
Variance	0.0009789419357
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2036	27.0%
0.0217	22	0.3%
0.0294	21	0.3%
0.0208	20	0.3%
0.0213	19	0.3%
0.0172	19	0.3%
0.0303	19	0.3%
0.0167	19	0.3%
0.019	18	0.2%
0.0238	18	0.2%
Other values (947)	4663	61.9%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2036	27.0%
0.0001	1	< 0.1%
0.0002	4	0.1%
0.0003	6	0.1%
0.0004	6	0.1%

Value	Count	Frequency (%)
0.5333	1	< 0.1%
0.4369	1	< 0.1%
0.4265	1	< 0.1%
0.3897	1	< 0.1%
0.3459	1	< 0.1%

UGDS_NRA
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	920
Distinct (%)	13.4%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.01608581612
Minimum	0
Maximum	0.9286
Zeros	3906
Zeros (%)	51.8%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.0117
95-th percentile	0.078135
Maximum	0.9286
Range	0.9286
Interquartile range (IQR)	0.0117

Descriptive statistics

Standard deviation	0.05017188539
Coefficient of variation (CV)	3.119013982
Kurtosis	101.2317396
Mean	0.01608581612
Median Absolute Deviation (MAD)	0
Skewness	8.284843909
Sum	110.5739
Variance	0.002517218083
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3906	51.8%
0.0018	27	0.4%
0.0015	24	0.3%
0.0009	24	0.3%
0.0007	23	0.3%
0.002	22	0.3%
0.0029	22	0.3%
0.003	21	0.3%
0.0012	21	0.3%
0.0013	20	0.3%
Other values (910)	2764	36.7%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3906	51.8%
0.0001	7	0.1%
0.0002	8	0.1%
0.0003	11	0.1%
0.0004	13	0.2%

Value	Count	Frequency (%)
0.9286	1	< 0.1%
0.8942	1	< 0.1%
0.8718	1	< 0.1%
0.8	1	< 0.1%
0.7944	1	< 0.1%

UGDS_UNKN
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	1517
Distinct (%)	22.1%
Missing	661
Missing (%)	8.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.0451814373
Minimum	0
Maximum	0.9027
Zeros	2067
Zeros (%)	27.4%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.0143
Q3	0.0454
95-th percentile	0.200575
Maximum	0.9027
Range	0.9027
Interquartile range (IQR)	0.0454

Descriptive statistics

Standard deviation	0.0934404091
Coefficient of variation (CV)	2.06811502
Kurtosis	23.72572674
Mean	0.0451814373
Median Absolute Deviation (MAD)	0.0143
Skewness	4.353223011
Sum	310.5772
Variance	0.008731110053
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2067	27.4%
0.0085	21	0.3%
0.0068	20	0.3%
0.0182	19	0.3%
0.002	18	0.2%
0.0098	17	0.2%
0.0056	16	0.2%
0.0045	15	0.2%
0.0175	15	0.2%
0.0094	15	0.2%
Other values (1507)	4651	61.7%
(Missing)	661	8.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2067	27.4%
0.0001	1	< 0.1%
0.0002	4	0.1%
0.0003	4	0.1%
0.0004	6	0.1%

Value	Count	Frequency (%)
0.9027	1	< 0.1%
0.8785	1	< 0.1%
0.8745	1	< 0.1%
0.8668	1	< 0.1%
0.8625	1	< 0.1%

PPTUG_EF
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	3420
Distinct (%)	49.9%
Missing	682
Missing (%)	9.1%
Infinite	0
Infinite (%)	0.0%

Mean	0.2266389902
Minimum	0
Maximum	1
Zeros	1903
Zeros (%)	25.3%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.1504
Q3	0.3769
95-th percentile	0.71062
Maximum	1
Range	1
Interquartile range (IQR)	0.3769

Descriptive statistics

Standard deviation	0.2464701974
Coefficient of variation (CV)	1.087501304
Kurtosis	0.216493156
Mean	0.2266389902
Median Absolute Deviation (MAD)	0.1504
Skewness	1.019221488
Sum	1553.157
Variance	0.06074755822
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1903	25.3%
1	44	0.6%
0.3333	15	0.2%
0.25	12	0.2%
0.5	11	0.1%
0.2	10	0.1%
0.1429	8	0.1%
0.2857	8	0.1%
0.2308	7	0.1%
0.4	7	0.1%
Other values (3410)	4828	64.1%
(Missing)	682	9.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1903	25.3%
0.0002	1	< 0.1%
0.0003	1	< 0.1%
0.0004	1	< 0.1%
0.0007	2	< 0.1%

Value	Count	Frequency (%)
1	44	0.6%
0.9959	1	< 0.1%
0.995	1	< 0.1%
0.9942	1	< 0.1%
0.9936	1	< 0.1%

CURROPER
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.0 KiB

1	6957
0	578

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7535
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	6957	92.3%
0	578	7.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	6957	92.3%
0	578	7.7%

Most occurring characters

Value	Count	Frequency (%)
1	6957	92.3%
0	578	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7535	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	6957	92.3%
0	578	7.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	7535	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	6957	92.3%
0	578	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7535	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	6957	92.3%
0	578	7.7%

PCTPELL
Real number (ℝ_≥0)

MISSING

Distinct	4422
Distinct (%)	64.6%
Missing	686
Missing (%)	9.1%
Infinite	0
Infinite (%)	0.0%

Mean	0.5306430574
Minimum	0
Maximum	1
Zeros	47
Zeros (%)	0.6%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.17
Q1	0.3578
median	0.5215
Q3	0.7129
95-th percentile	0.89636
Maximum	1
Range	1
Interquartile range (IQR)	0.3551

Descriptive statistics

Standard deviation	0.2255443558
Coefficient of variation (CV)	0.425039681
Kurtosis	-0.7846975123
Mean	0.5306430574
Median Absolute Deviation (MAD)	0.1763
Skewness	2.474414699 × 10⁵
Sum	3634.3743
Variance	0.05087025644
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	66	0.9%
0	47	0.6%
0.5	30	0.4%
0.8	14	0.2%
0.75	13	0.2%
0.4	12	0.2%
0.6667	11	0.1%
0.625	11	0.1%
0.7143	10	0.1%
0.8333	9	0.1%
Other values (4412)	6626	87.9%
(Missing)	686	9.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	47	0.6%
0.0041	1	< 0.1%
0.0124	1	< 0.1%
0.0179	1	< 0.1%
0.0194	1	< 0.1%

Value	Count	Frequency (%)
1	66	0.9%
0.9985	1	< 0.1%
0.9964	1	< 0.1%
0.9941	1	< 0.1%
0.9937	1	< 0.1%

PCTFLOAN
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	4155
Distinct (%)	60.7%
Missing	686
Missing (%)	9.1%
Infinite	0
Infinite (%)	0.0%

Mean	0.5222108629
Minimum	0
Maximum	1
Zeros	687
Zeros (%)	9.1%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.3329
median	0.5833
Q3	0.745
95-th percentile	0.89792
Maximum	1
Range	1
Interquartile range (IQR)	0.4121

Descriptive statistics

Standard deviation	0.2836155209
Coefficient of variation (CV)	0.5431053642
Kurtosis	-0.8120751355
Mean	0.5222108629
Median Absolute Deviation (MAD)	0.1902
Skewness	-0.5229443778
Sum	3576.6222
Variance	0.08043776368
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	687	9.1%
1	55	0.7%
0.5	17	0.2%
0.75	15	0.2%
0.8	14	0.2%
0.8333	11	0.1%
0.6	10	0.1%
0.6667	10	0.1%
0.5556	8	0.1%
0.8182	7	0.1%
Other values (4145)	6015	79.8%
(Missing)	686	9.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	687	9.1%
0.0006	1	< 0.1%
0.0011	1	< 0.1%
0.0018	1	< 0.1%
0.0024	1	< 0.1%

Value	Count	Frequency (%)
1	55	0.7%
0.9976	1	< 0.1%
0.9953	1	< 0.1%
0.9944	1	< 0.1%
0.9941	1	< 0.1%

UG25ABV
Real number (ℝ_≥0)

MISSING

Distinct	4285
Distinct (%)	63.8%
Missing	817
Missing (%)	10.8%
Infinite	0
Infinite (%)	0.0%

Mean	0.4100211968
Minimum	0
Maximum	1
Zeros	51
Zeros (%)	0.7%
Memory size	59.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.0374
Q1	0.2415
median	0.40075
Q3	0.572275
95-th percentile	0.8
Maximum	1
Range	1
Interquartile range (IQR)	0.330775

Descriptive statistics

Standard deviation	0.2289391657
Coefficient of variation (CV)	0.5583593421
Kurtosis	-0.672285885
Mean	0.4100211968
Median Absolute Deviation (MAD)	0.16515
Skewness	0.1626538357
Sum	2754.5224
Variance	0.05241314159
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	51	0.7%
0.5	29	0.4%
0.3333	22	0.3%
0.6667	19	0.3%
0.4	15	0.2%
0.4286	15	0.2%
0.4444	13	0.2%
0.25	12	0.2%
1	12	0.2%
0.5556	12	0.2%
Other values (4275)	6518	86.5%
(Missing)	817	10.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	51	0.7%
0.0005	1	< 0.1%
0.0006	1	< 0.1%
0.0007	1	< 0.1%
0.0008	1	< 0.1%

Value	Count	Frequency (%)
1	12	0.2%
0.9896	1	< 0.1%
0.988	1	< 0.1%
0.9844	1	< 0.1%
0.9828	1	< 0.1%

MD_EARN_WNE_P10
Categorical

HIGH CARDINALITY
MISSING

Distinct	598
Distinct (%)	9.3%
Missing	1122
Missing (%)	14.9%
Memory size	59.0 KiB

PrivacySuppressed	822
38800	151
21500	97
49200	78
27400	46
Other values (593)	5219

Length

Max length	17
Median length	5
Mean length	6.541712147
Min length	4

Characters and Unicode

Total characters	41952
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	132 ?
Unique (%)	2.1%

Sample

1st row	30300
2nd row	39700
3rd row	40100
4th row	45500
5th row	26600

Value	Count	Frequency (%)
PrivacySuppressed	822	10.9%
38800	151	2.0%
21500	97	1.3%
49200	78	1.0%
27400	46	0.6%
37000	45	0.6%
28800	42	0.6%
29700	42	0.6%
25300	38	0.5%
22400	34	0.5%
Other values (588)	5018	66.6%
(Missing)	1122	14.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
privacysuppressed	822	12.8%
38800	151	2.4%
21500	97	1.5%
49200	78	1.2%
27400	46	0.7%
37000	45	0.7%
28800	42	0.7%
29700	42	0.7%
25300	38	0.6%
29400	34	0.5%
Other values (588)	5018	78.2%

Most occurring characters

Value	Count	Frequency (%)
0	12228	29.1%
2	3012	7.2%
3	2673	6.4%
4	1934	4.6%
1	1868	4.5%
r	1644	3.9%
p	1644	3.9%
e	1644	3.9%
s	1644	3.9%
5	1442	3.4%
Other values (13)	12219	29.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	27978	66.7%
Lowercase Letter	12330	29.4%
Uppercase Letter	1644	3.9%

Most frequent character per category

Value	Count	Frequency (%)
r	1644	13.3%
p	1644	13.3%
e	1644	13.3%
s	1644	13.3%
i	822	6.7%
v	822	6.7%
a	822	6.7%
c	822	6.7%
y	822	6.7%
u	822	6.7%

Value	Count	Frequency (%)
0	12228	43.7%
2	3012	10.8%
3	2673	9.6%
4	1934	6.9%
1	1868	6.7%
5	1442	5.2%
8	1331	4.8%
9	1171	4.2%
6	1165	4.2%
7	1154	4.1%

Value	Count	Frequency (%)
P	822	50.0%
S	822	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	27978	66.7%
Latin	13974	33.3%

Most frequent character per script

Value	Count	Frequency (%)
r	1644	11.8%
p	1644	11.8%
e	1644	11.8%
s	1644	11.8%
P	822	5.9%
i	822	5.9%
v	822	5.9%
a	822	5.9%
c	822	5.9%
y	822	5.9%
Other values (3)	2466	17.6%

Value	Count	Frequency (%)
0	12228	43.7%
2	3012	10.8%
3	2673	9.6%
4	1934	6.9%
1	1868	6.7%
5	1442	5.2%
8	1331	4.8%
9	1171	4.2%
6	1165	4.2%
7	1154	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41952	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	12228	29.1%
2	3012	7.2%
3	2673	6.4%
4	1934	4.6%
1	1868	4.5%
r	1644	3.9%
p	1644	3.9%
e	1644	3.9%
s	1644	3.9%
5	1442	3.4%
Other values (13)	12219	29.1%

GRAD_DEBT_MDN_SUPP
Categorical

HIGH CARDINALITY

Distinct	2038
Distinct (%)	27.2%
Missing	32
Missing (%)	0.4%
Memory size	59.0 KiB

PrivacySuppressed	1510
9500	514
27000	306
25827.5	136
25000	124
Other values (2033)	4913

Length

Max length	17
Median length	5
Mean length	7.392376383
Min length	4

Characters and Unicode

Total characters	55465
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1542 ?
Unique (%)	20.6%

Sample

1st row	33888
2nd row	21941.5
3rd row	23370
4th row	24097
5th row	33118.5

Value	Count	Frequency (%)
PrivacySuppressed	1510	20.0%
9500	514	6.8%
27000	306	4.1%
25827.5	136	1.8%
25000	124	1.6%
12000	118	1.6%
20000	90	1.2%
9833	89	1.2%
14144	88	1.2%
36173.5	81	1.1%
Other values (2028)	4447	59.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
privacysuppressed	1510	20.1%
9500	514	6.9%
27000	306	4.1%
25827.5	136	1.8%
25000	124	1.7%
12000	118	1.6%
20000	90	1.2%
9833	89	1.2%
14144	88	1.2%
36173.5	81	1.1%
Other values (2028)	4447	59.3%

Most occurring characters

Value	Count	Frequency (%)
0	7539	13.6%
5	3827	6.9%
2	3615	6.5%
1	3368	6.1%
r	3020	5.4%
p	3020	5.4%
e	3020	5.4%
s	3020	5.4%
3	2113	3.8%
7	2011	3.6%
Other values (14)	20912	37.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28946	52.2%
Lowercase Letter	22650	40.8%
Uppercase Letter	3020	5.4%
Other Punctuation	849	1.5%

Most frequent character per category

Value	Count	Frequency (%)
r	3020	13.3%
p	3020	13.3%
e	3020	13.3%
s	3020	13.3%
i	1510	6.7%
v	1510	6.7%
a	1510	6.7%
c	1510	6.7%
y	1510	6.7%
u	1510	6.7%

Value	Count	Frequency (%)
0	7539	26.0%
5	3827	13.2%
2	3615	12.5%
1	3368	11.6%
3	2113	7.3%
7	2011	6.9%
9	1922	6.6%
6	1636	5.7%
8	1474	5.1%
4	1441	5.0%

Value	Count	Frequency (%)
P	1510	50.0%
S	1510	50.0%

Value	Count	Frequency (%)
.	849	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	29795	53.7%
Latin	25670	46.3%

Most frequent character per script

Value	Count	Frequency (%)
r	3020	11.8%
p	3020	11.8%
e	3020	11.8%
s	3020	11.8%
P	1510	5.9%
i	1510	5.9%
v	1510	5.9%
a	1510	5.9%
c	1510	5.9%
y	1510	5.9%
Other values (3)	4530	17.6%

Value	Count	Frequency (%)
0	7539	25.3%
5	3827	12.8%
2	3615	12.1%
1	3368	11.3%
3	2113	7.1%
7	2011	6.7%
9	1922	6.5%
6	1636	5.5%
8	1474	4.9%
4	1441	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	55465	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	7539	13.6%
5	3827	6.9%
2	3615	6.5%
1	3368	6.1%
r	3020	5.4%
p	3020	5.4%
e	3020	5.4%
s	3020	5.4%
3	2113	3.8%
7	2011	3.6%
Other values (14)	20912	37.7%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	INSTNM	CITY	STABBR	HBCU	RELAFFIL	SATVRMID	SATMTMID	DISTANCEONLY	UGDS	UGDS_WHITE	UGDS_BLACK	UGDS_HISP	UGDS_ASIAN	UGDS_AIAN	UGDS_NHPI	UGDS_2MOR	UGDS_NRA	UGDS_UNKN	PPTUG_EF	CURROPER	PCTPELL	PCTFLOAN	UG25ABV	MD_EARN_WNE_P10	GRAD_DEBT_MDN_SUPP
0	Alabama A & M University	Normal	AL	1.0	0	424.0	420.0	0.0	4206.0	0.0333	0.9353	0.0055	0.0019	0.0024	0.0019	0.0000	0.0059	0.0138	0.0656	1	0.7356	0.8284	0.1049	30300	33888
1	University of Alabama at Birmingham	Birmingham	AL	0.0	0	570.0	565.0	0.0	11383.0	0.5922	0.2600	0.0283	0.0518	0.0022	0.0007	0.0368	0.0179	0.0100	0.2607	1	0.3460	0.5214	0.2422	39700	21941.5
2	Amridge University	Montgomery	AL	0.0	1	NaN	NaN	1.0	291.0	0.2990	0.4192	0.0069	0.0034	0.0000	0.0000	0.0000	0.0000	0.2715	0.4536	1	0.6801	0.7795	0.8540	40100	23370
3	University of Alabama in Huntsville	Huntsville	AL	0.0	0	595.0	590.0	0.0	5451.0	0.6988	0.1255	0.0382	0.0376	0.0143	0.0002	0.0172	0.0332	0.0350	0.2146	1	0.3072	0.4596	0.2640	45500	24097
4	Alabama State University	Montgomery	AL	1.0	0	425.0	430.0	0.0	4811.0	0.0158	0.9208	0.0121	0.0019	0.0010	0.0006	0.0098	0.0243	0.0137	0.0892	1	0.7347	0.7554	0.1270	26600	33118.5
5	The University of Alabama	Tuscaloosa	AL	0.0	0	555.0	565.0	0.0	29851.0	0.7825	0.1119	0.0348	0.0106	0.0038	0.0009	0.0261	0.0268	0.0026	0.0844	1	0.2040	0.4010	0.0853	41900	23750
6	Central Alabama Community College	Alexander City	AL	0.0	0	NaN	NaN	0.0	1592.0	0.7255	0.2613	0.0044	0.0025	0.0044	0.0000	0.0000	0.0000	0.0019	0.3882	1	0.5892	0.3977	0.3153	27500	16127
7	Athens State University	Athens	AL	0.0	0	NaN	NaN	0.0	2991.0	0.7823	0.1200	0.0191	0.0053	0.0157	0.0010	0.0174	0.0057	0.0334	0.5517	1	0.4088	0.6296	0.6410	39000	18595
8	Auburn University at Montgomery	Montgomery	AL	0.0	0	486.0	509.0	0.0	4304.0	0.5328	0.3376	0.0074	0.0221	0.0044	0.0016	0.0297	0.0397	0.0246	0.2853	1	0.4192	0.5803	0.2930	35000	21335
9	Auburn University	Auburn	AL	0.0	0	575.0	588.0	0.0	20514.0	0.8507	0.0704	0.0248	0.0227	0.0074	0.0000	0.0000	0.0100	0.0140	0.0862	1	0.1610	0.3494	0.0415	45700	21831

Last rows

	INSTNM	CITY	STABBR	HBCU	MENONLY	WOMENONLY	RELAFFIL	SATVRMID	SATMTMID	DISTANCEONLY	UGDS	UGDS_WHITE	UGDS_BLACK	UGDS_HISP	UGDS_ASIAN	UGDS_AIAN	UGDS_NHPI	UGDS_2MOR	UGDS_NRA	UGDS_UNKN	PPTUG_EF	CURROPER	PCTPELL	PCTFLOAN	UG25ABV	MD_EARN_WNE_P10	GRAD_DEBT_MDN_SUPP
7525	Strayer University-North Dallas	Dallas	TX	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	36173.5
7526	Strayer University-San Antonio	San Antonio	TX	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	36173.5
7527	Strayer University-Stafford	Stafford	TX	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	36173.5
7528	WestMed College - Merced	Merced	CA	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	15623.5
7529	Vantage College	El Paso	TX	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	9500
7530	SAE Institute of Technology San Francisco	Emeryville	CA	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	9500
7531	Rasmussen College - Overland Park	Overland Park	KS	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	21163
7532	National Personal Training Institute of Cleveland	Highland Heights	OH	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	6333
7533	Bay Area Medical Academy - San Jose Satellite Location	San Jose	CA	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	PrivacySuppressed
7534	Excel Learning Center-San Antonio South	San Antonio	TX	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1	NaN	NaN	NaN	NaN	12125

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions